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AI Primer/Ethics: Capability, Risks, and Responsibility
1 students

AI Primer/Ethics: Capability, Risks, and Responsibility

A comprehensive look at AI basics, ethical frameworks, and safe usage.
Created byTechno King
Last updated 4/2026
English

What you'll learn

  • Understand the fundamentals of AI and how it is used in the workplace
  • Apply core principles of AI ethics and responsible use
  • Identify and manage AI-related risks
  • Understand governance, compliance, and stakeholder impact
  • What AI is good at: Understanding its practical strengths and how it can act as a "force multiplier" for your brain
  • How to avoid risks: Identifying and managing critical dangers like bias, misinformation, deepfakes, and data leaks.
  • How to use AI responsibly by aligning with professional standards, ensuring human-in-the-loop oversight, and applying the S.A.F.E. framework.
  • Where AI can go wrong: Recognizing its flaws, limitations, and tendency to hallucinate or make mistakes.

Course content

2 sections • 53 lectures • 1h 19m total length

  • AI Primer : Responsible Use in Business - Introduction1:01
  • AI Primer : Responsible Use in Business - Foundational Part 11:15

    Embrace foundational AI principles: human centricity, accountability, and value add as guardrails for the digital age, with AI as a tool and co-pilot, not the pilot.

  • AI Primer : Responsible Use in Business - Foundational Part 20:57

    Take responsibility for AI outputs in business; you are the pilot who owns final results, since AI merely assists with writing, analysis, and recommendations.

  • AI Primer : Responsible Use in Business - Foundational Part 31:00

    Apply value-add by using AI only when it helps customers or the team, saving time, reducing errors, or enhancing real people’s experience.

  • AI Primer : Responsible Use in Business - Fairness Part 11:22

    Evaluate fairness in AI by avoiding bias and using origins, reality, and vigilance to prevent stereotypes and discrimination, recognizing AI mirrors historical data.

  • AI Primer : Responsible Use in Business - Fairness Part 21:14

    Identify how biased artificial intelligence shapes real-world outcomes in hiring, lending, and risk assessment, and learn to mitigate blind spots to promote fairness in business.

  • AI Primer : Responsible Use in Business - Fairness Part 31:07

    Exercise vigilance by actively reviewing AI outputs for fairness and equal treatment, serving as quality control to verify data and patterns and prevent bias.

  • AI Primer : Responsible Use in Business - Transparency Part 11:37

    Explore transparency and explainability in AI use for business, focusing on disclosure, reasoning, and trust to clearly state when users interact with AI rather than a human and protect trust.

  • AI Primer : Responsible Use in Business - Transparency Part 21:10

    Learn to replace black box AI with glass box reasoning, explaining factors like credit history, income, and risk indicators to validate and defend high-impact business decisions such as loan denials.

  • AI Primer : Responsible Use in Business - Transparency Part 31:04

    Disclose when users interact with AI to build trust, set expectations, and protect confidence in business interactions, acting like a caller ID for AI.

  • AI Primer : Responsible Use in Business - Privacy Part 11:32

    Practice privacy-first rules to safeguard sensitive information, personal data, and customer details when using AI, and apply privacy, ownership, and approval principles to comply with company and legal standards.

  • AI Primer : Responsible Use in Business - Privacy Part 21:17

    Clarify ownership of AI-generated content and rights to use, modify, or distribute. Highlight legal and ethical implications, including copyright, trademarks, and risk of infringement when designs resemble copyrighted works.

  • AI Primer : Responsible Use in Business - Privacy Part 31:07

    Use only AI tools approved by IT, treating them as a secured vault. Protect data, delete sensitive information after use, and prevent training external or public models.

  • AI Primer : Responsible Use in Business - Risk Assessment Part 11:52

    We apply governance, risk assessment, and flagging with human in the loop to govern ai responsibly, using a traffic light system from green to red.

  • AI Primer : Responsible Use in Business - Risk Assessment Part 21:08

    Use human-in-loop to ensure humans review, validate, and approve AI outputs, treating AI as an assistant and preserving human final say on critical outcomes.

  • AI Primer : Responsible Use in Business - Risk Assessment Part 31:14

    Flag AI recommendations to stop automation bias and empower humans to review high-stakes errors. Nurses or staff notify ethics or tech teams to correct the AI and protect patients.

  • AI Primer : Responsible Use in Business - Real-World Case Part 11:36

    Explore real-world AI case studies to learn what works and what goes wrong, including Zillow's house-flipping misfire, and how to validate AI insights responsibly with real-world data.

  • AI Primer : Responsible Use in Business - Real-World Case Part 21:27

    View AI as a responsible business partner; COIN acts as a research assistant that handles repetitive contract tasks, boosting productivity while humans focus on judgment and strategy.

  • AI Primer : Responsible Use in Business - Compliance Part 11:22

    Assess AI from regulation and impact, EU AI Act, to align decisions with policy and law, protecting customer data. Use secure, approved AI to meet GDPR and build customer trust.

  • AI Primer : Responsible Use in Business - Compliance Part 21:15

    Assess how ai decisions impact people beyond processes by examining who benefits, who is harmed, and how efficiency may clash with fairness, inclusion, and trust.

  • AI Primer : Responsible Use in Business - Future Challenges Part 11:49

    Explore the future challenges of AI, including emerging issues, risks, and accountability as agentic AI takes actions on your behalf. Make clear that while AI can act, humans remain responsible.

  • AI Primer : Responsible Use in Business - Future Challenges Part 21:05

    Explore the rise of deepfakes and AI-generated voices and images, and learn how to verify identities and sources to protect trust, security, and decision-making against manipulation.

  • AI Primer : Responsible Use in Business - Future Challenges Part 31:18

    Address the sustainability challenges of AI in business, revealing how data centers consume energy, water, and hardware behind every AI request, and urging value over convenience.

  • AI Primer : Responsible Use in Business - Checklist1:21

    Apply the AI ethics checklist for responsible business use: pause to check privacy, fairness, clarity, and human review before using AI at work.

Requirements

  • An open mindset toward learning responsible technology use

Description

This course contains the use of artificial intelligence. This course uses Text-to-Speech-generated voice for narration.

AI Essentials: Foundations, Ethics, and Responsible Use

Course Overview

Artificial Intelligence is no longer a futuristic concept—it is a core part of our daily work. From generative tools like ChatGPT and Gemini to automated systems used in hiring, lending, and customer service, AI is shaping real-world decisions. However, knowing how to use AI is only half the battle; the most critical skill for the modern professional is knowing how to use it responsibly.

This comprehensive course combines a foundational primer on AI capabilities with a deep dive into ethical frameworks. You will move beyond the hype to understand what AI truly is, how it learns, and—most importantly—how to navigate the risks of bias, misinformation, and data privacy.

What You Will Learn

  • AI Foundations: Understand how AI systems learn from data and what happens "under the hood" of modern automated systems.

  • The Pillars of Responsibility: Explore the core principles of accountability, fairness, transparency, privacy, and value-add.

  • Risk Mitigation: Learn how unethical or careless AI use leads to real-world harm in areas like recruitment, finance, and decision-making.

  • Practical Governance: Navigate compliance with emerging regulations, data security, and stakeholder impact.

  • Real-World Application: Analyze success stories and high-profile AI failures through case studies to understand what works and what can go wrong.

  • The Future Landscape: Prepare for upcoming challenges including agentic AI, deepfakes, and environmental sustainability.

Practical Tools for Your Workflow

This course avoids complex technical jargon, focusing instead on practical decision-making skills. You will walk away with an actionable framework for your daily work, including the S.A.F.E. Checklist and Human-in-the-loop strategies to ensure AI remains a tool under human judgment.

By the end of this course, you will be empowered to use AI confidently and safely, ensuring your innovation always aligns with ethical and professional standards.

Use AI smarter. Use AI safely. Use AI responsibly.

Who this course is for:

  • Everyday professionals and knowledge workers wanting to use AI tools like ChatGPT or Gemini safely.
  • Managers, analysts, marketers, HR, finance, legal, and operations teams who use AI for decision-making, content, or automation
  • People who want to understand not just how to use AI, but how to use it safely, fairly, and responsibly
  • Non-technical employees (the course explicitly avoids computer code or deep technical details).
  • Anyone using AI for daily tasks (drafting, brainstorming, analyzing data) who needs to act as a responsible "Human-in-the-Loop.

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